Endoscopic ultrasonography-based intratumoral and peritumoral machine learning radiomics analyses for distinguishing insulinomas from non-functional pancreatic neuroendocrine tumors.

Journal: Frontiers in endocrinology
Published Date:

Abstract

OBJECTIVES: To develop and validate radiomics models utilizing endoscopic ultrasonography (EUS) images to distinguish insulinomas from non-functional pancreatic neuroendocrine tumors (NF-PNETs).

Authors

  • Shuangyang Mo
    Gastroenterology Department, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
  • Cheng Huang
    James H. Clark Center, Stanford University, Stanford, California, USA.
  • Yingwei Wang
    Gastroenterology Department, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
  • Huaying Zhao
    Gastroenterology Department, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
  • Wenhong Wu
    Gastroenterology Department, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
  • Haixing Jiang
    Gastroenterology Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Shanyu Qin
    Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.